[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

[CVPR'22] Official PyTorch Implementation of Collaborative Transformers for Grounded Situation Recognition

[ACM-MM 2022] GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement

[BMVC'21] Official PyTorch Implementation of Grounded Situation Recognition with Transformers

Situation With Groundings (SWiG) dataset and Joint Situation Localizer (JSL)

End-to-End Object Detection with Transformers

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

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Pytorch implementation of RetinaNet object detection.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

PyTorch implementation for our CVPR 2020 Paper "Attention-based Context Aware Reasoning for Situation Recognition"

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

RefineNet-101 VOC in PyTorch

Support, annotation, evaluation, and baseline models for the imSitu dataset.

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Reference models and tools for Cloud TPUs.

Semantic Segmentation Architectures Implemented in PyTorch

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18