Xiaohao Xu's repositories
awesome-segment-anything-extensions
Segment-anything related awesome extensions/projects/repos.
awesome-rvos
Referring Video Object Segmentation / Multi-Object Tracking Repo
Awesome-3D-Anomaly-Detection
Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation
Robust-Video-Object-Segmentation
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
IROS22-FMG-Sensor-Optimization
[IROS22 Oral] Optimization of Forcemyography Sensor Placement for Arm Movement Recognition https://arxiv.org/abs/2207.10915
awesome-interactive-vos
Awesome (Image/Video) Interactive Segmentation for Auto Labeling and Annotation
ImageNet_with_Mask
ImageNet Image with mask (only 13 categories are available now)
3D-ADS
Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper. https://www.vision.huji.ac.il/3d_ads/
Robust-ReferVOS
[ICCV23] Robust Referring Video Object Segmentation with Cyclic Structural Consistency
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
awesome-image-captioning
A curated list of image captioning and related area resources. :-)
awesome-point-cloud-scene-flow
A list of point cloud scene flow papers, codes and datasets.
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Guyu
pre-training and fine-tuning framework for text generation
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
research_tao
NLP研究入门之道
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TII23-CDO
[IEEE Transactions on Industrial Informatics] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
VFS
Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)