Building AI that can generate images of things it has never seen before
Github: https://github.com/facebookresearch/ic_gan
Facebook Ai: https://ai.facebook.com/blog/instance-conditioned-gans/
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.05070
👉 @bigdata_1
Github: https://github.com/facebookresearch/ic_gan
Facebook Ai: https://ai.facebook.com/blog/instance-conditioned-gans/
Documents: https://facebookresearch.github.io/CompilerGym/
Paper: https://arxiv.org/abs/2109.05070
👉 @bigdata_1
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
👉 @bigdata_1
Github: https://github.com/Aaditya-Singh/SAFIN
Paper: https://arxiv.org/abs/2105.06129v1
👉 @bigdata_1
Don’t be Contradicted with Anything!CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Github: https://github.com/yizhen20133868/ci-tod
Paper: https://arxiv.org/abs/2109.11292v1
Dataset: https://paperswithcode.com/dataset/kvret-1
👉 @bigdata_1
Github: https://github.com/yizhen20133868/ci-tod
Paper: https://arxiv.org/abs/2109.11292v1
Dataset: https://paperswithcode.com/dataset/kvret-1
👉 @bigdata_1
GAN Prior Embedded Network for Blind Face Restoration in the Wild
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
👉 @bigdata_1
Github: https://github.com/yangxy/GPEN
Paper: https://arxiv.org/abs/2105.06070v1
👉 @bigdata_1
Unseen Object Amodal Instance Segmentation (UOAIS)
Github: https://github.com/gist-ailab/uoais
Paper: https://arxiv.org/abs/2109.11103
Dataset: https://paperswithcode.com/dataset/ocid
Project: https://sites.google.com/view/uoais
👉 @bigdata_1
Github: https://github.com/gist-ailab/uoais
Paper: https://arxiv.org/abs/2109.11103
Dataset: https://paperswithcode.com/dataset/ocid
Project: https://sites.google.com/view/uoais
👉 @bigdata_1
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Rethinking "Batch" in BatchNorm
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
👉 @bigdata_1
Github: https://github.com/facebookresearch/detectron2/tree/master/projects/Rethinking-BatchNorm
Paper: https://arxiv.org/abs/2105.07576
👉 @bigdata_1
AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
👉 @bigdata_1
Github: https://github.com/yangxue0827/RotationDetection
Paper: https://arxiv.org/abs/2109.11906v1
Dataset: https://paperswithcode.com/dataset/dota
Documentation: https://rotationdetection.readthedocs.io/en/latest/
👉 @bigdata_1
Deep Learning Dataset For Passage and Document Retrieval
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
👉 @bigdata_1
Github: https://github.com/grill-lab/DL-Hard
Paper: https://arxiv.org/abs/2105.07975v1
👉 @bigdata_1
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PASS: Pictures without humAns for Self-Supervised Pretraining
PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information.
Github: https://github.com/yukimasano/PASS
Paper: https://arxiv.org/abs/2109.13228v1
Dataset: https://paperswithcode.com/dataset/pass
Documentation: https://www.robots.ox.ac.uk/~vgg/research/pass/
👉 @bigdata_1
PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information.
Github: https://github.com/yukimasano/PASS
Paper: https://arxiv.org/abs/2109.13228v1
Dataset: https://paperswithcode.com/dataset/pass
Documentation: https://www.robots.ox.ac.uk/~vgg/research/pass/
👉 @bigdata_1
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Vision Transformer for Fast and Efficient Scene Text Recognition
Github: https://github.com/roatienza/deep-text-recognition-benchmark
Paper: https://arxiv.org/abs/2105.08582
👉 @bigdata_1
Github: https://github.com/roatienza/deep-text-recognition-benchmark
Paper: https://arxiv.org/abs/2105.08582
👉 @bigdata_1
👍2
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Nowcasting the Next Hour of Rain
Github: https://github.com/deepmind/deepmind-research/tree/master/nowcasting
Paper: https://www.nature.com/articles/s41586-021-03854-z
Deepmind blog: https://deepmind.com/blog/article/nowcasting
👉 @bigdata_1
Github: https://github.com/deepmind/deepmind-research/tree/master/nowcasting
Paper: https://www.nature.com/articles/s41586-021-03854-z
Deepmind blog: https://deepmind.com/blog/article/nowcasting
👉 @bigdata_1
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OpenNRE
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
👉 @bigdata_1
Reviewing Test Protocols of Distantly Supervised Relation Extraction
Github: https://github.com/thunlp/OpenNRE
Paper: https://arxiv.org/abs/2105.09543v1
👉 @bigdata_1
MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning
Github: https://github.com/facebookresearch/minihack
Facebook AI: https://ai.facebook.com/blog/minihack-a-new-sandbox-for-open-ended-reinforcement-learning/
Paper: https://arxiv.org/abs/2109.13202
Documentation: https://minihack.readthedocs.io/
👉 @bigdata_1
Github: https://github.com/facebookresearch/minihack
Facebook AI: https://ai.facebook.com/blog/minihack-a-new-sandbox-for-open-ended-reinforcement-learning/
Paper: https://arxiv.org/abs/2109.13202
Documentation: https://minihack.readthedocs.io/
👉 @bigdata_1
👍2
Awesome list of datasets in 100+ categories
44 zettabytes of data
https://www.kdnuggets.com/2021/05/awesome-list-datasets.html
👉 @bigdata_1
44 zettabytes of data
https://www.kdnuggets.com/2021/05/awesome-list-datasets.html
👉 @bigdata_1
👍2
TSM: Temporal Shift Module for Efficient Video Understanding
Github: https://github.com/princeton-nlp/made
Website: https://hanlab.mit.edu/projects/tsm/
Paper: https://arxiv.org/abs/1811.08383
Dataset: https://paperswithcode.com/dataset/squad
👉 @bigdata_1
Github: https://github.com/princeton-nlp/made
Website: https://hanlab.mit.edu/projects/tsm/
Paper: https://arxiv.org/abs/1811.08383
Dataset: https://paperswithcode.com/dataset/squad
👉 @bigdata_1
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High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.09188v1
👉 @bigdata_1
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.09188v1
👉 @bigdata_1
Fast bottom-up method that jointly detects over 100 keypoints on humans or objects
Github: https://github.com/duncanzauss/keypoint_communities
Paper: https://arxiv.org/abs/2110.00988v1
Dataset: https://paperswithcode.com/dataset/coco
👉 @bigdata_1
Github: https://github.com/duncanzauss/keypoint_communities
Paper: https://arxiv.org/abs/2110.00988v1
Dataset: https://paperswithcode.com/dataset/coco
👉 @bigdata_1
A Python Package for Bayesian Time Series Forecasting and Inference
https://morioh.com/p/24731abbc7f0
Github: https://github.com/uber/orbit
Docs: https://orbit-ml.readthedocs.io/en/stable/
👉 @bigdata_1
https://morioh.com/p/24731abbc7f0
Github: https://github.com/uber/orbit
Docs: https://orbit-ml.readthedocs.io/en/stable/
👉 @bigdata_1
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FLAN: More generalizable Language Models with Instruction Fine-Tuning
Google research: https://ai.googleblog.com/2021/10/introducing-flan-more-generalizable.html
Github: https://github.com/google-research/FLAN
Paper: https://arxiv.org/abs/2109.01652
👉 @bigdata_1
Google research: https://ai.googleblog.com/2021/10/introducing-flan-more-generalizable.html
Github: https://github.com/google-research/FLAN
Paper: https://arxiv.org/abs/2109.01652
👉 @bigdata_1
Unsupervised Scale-consistent Depth Learning from Video
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.11610v1
Project: https://jwbian.net/sc-sfmlearner/
👉 @bigdata_1
Github: https://github.com/csjliang/LPTN
Paper: https://arxiv.org/abs/2105.11610v1
Project: https://jwbian.net/sc-sfmlearner/
👉 @bigdata_1
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