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Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021

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

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Implementations of few-shot object detection benchmarks

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

Localization Distillation for Dense Object Detection (CVPR 2022)

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Meta-DETR: Official PyTorch Implementation

Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'

[TCSVT'22]Meta-Learning Based Incremental Few-Shot Object Detection

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Automatic pedestrian detection and monitoring system based on TensorFlow.基于TensorFlow的自动化行人检测（人体检测）和监控（视频监控）系统。

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Official code of the paper "Few-Shot Object Detection via Variational Feature Aggregation" (AAAI 2023)

Code for CVPR 2022 paper "NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition"

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