Stars
Cross-modal few-shot adaptation with CLIP
This is the code related to "Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis" (ICCV 2023)
Official implement for paper "See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data".
ORION: Orientation-boosted Voxel Nets for 3D Object Recognition
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
This repository contains demos I made with the Transformers library by HuggingFace.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Fine-tune Segment-Anything Model with Lightning Fabric.
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)
(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
[CVPR 2024] Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
PyTorch implementation for paper "V-FloodNet: A Video Segmentation System for Urban Flood Detection and Quantification", Environmental Modelling & Software, Elsevier (2023)
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
Pytorch reimplementation of Decoder Denoising Pretraining for Semantic Segmentation
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Official implementation for our ECCV 2022 paper "DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation"
Domain Adaptive Faster R-CNN in PyTorch