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3d-ads

Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper. https://www.vision.huji.ac.il/3d_ads/

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-3d-anomaly-detection

Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation

awesome-image-captioning

A curated list of image captioning and related area resources. :-)

awesome-interactive-vos

Awesome (Image/Video) Interactive Segmentation for Auto Labeling and Annotation

awesome-point-cloud-scene-flow

A list of point cloud scene flow papers, codes and datasets.

awesome-rvos

Referring Video Object Segmentation / Multi-Object Tracking Repo

awesome-segment-anything-extensions

Segment-anything related awesome extensions/projects/repos.

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

fmg-based-action-recognition

guyu

pre-training and fine-tuning framework for text generation

imagenet_with_mask

ImageNet Image with mask (only 13 categories are available now)

insolitum

iros22-fmg-sensor-optimization

[IROS22 Oral] Optimization of Forcemyography Sensor Placement for Arm Movement Recognition https://arxiv.org/abs/2207.10915

jerryx1110

jerryx1110.github.io

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mttr

nl-augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

research_tao

NLP研究入门之道

robust-refervos

[ICCV23] Robust Referring Video Object Segmentation with Cyclic Structural Consistency

robust-video-object-segmentation

[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022

rpcmvos

[AAAI22 Oral] Reliable Propagation-Correction Modulation for Video Object Segmentation

sdf

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

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)

voxel-mae

Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds

website