SHIFT Dataset DevKit - CVPR2022

Scalabel: A versatile web-based visual data annotation tool

This repository is the code of "SGP: Towards Efficient Test-time Adaptation via Sensitivity-Guided Pruning," a TPAMI-submitted extension of our CVPR 2025 paper "Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning."

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A modular and easy-to-use framework for Test-Time Training (TTT) and Test-Time Adaptation (TTA) in Pytorch, making your networks more generalizable with minimal effort ✨

README and scripts for the Cityscapes Dataset

This is the official code implementation for 'What, How, and When Should Object Detectors Update in Continually Changing Test Domains?' presented at CVPR 2024.

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.