Stars
Official Implementation of Towards Open Vocabulary Video Semantic Segmentation
Project Page for "Multi-Task Dense Prediction via Mixture of Low-Rank Experts"
[CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Painter & SegGPT Series: Vision Foundation Models from BAAI
S3D Text-Video model trained on HowTo100M using MIL-NCE
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
[ICCV2023] Implementation of "Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
NeurIPS 2023, Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
A collection of resources on applications of Transformers in Medical Imaging.
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
[NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
[IEEE TIP 2022] Code of EDN: Salient Object Detection via Extremely-Downsampled Network
CVPR2022: Large-scale Video Panoptic Segmentation in the Wild: A Benchmark
Code for CVPR 2022 paper: Coarse-to-Fine Feature Mining for Video Semantic Segmentation
Mask R-CNN for instance segmentation of panoramic X-ray images
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
VRT: A Video Restoration Transformer (official repository)
Code for "SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection" and "Lightweight Salient Object Detection via Hierarchical Visual Perception Learning"
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
[IEEE TPAMI22] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]