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Stars
This is a repository for listing papers on scene graph generation and application.
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Open-source and strong foundation image recognition models.
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
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.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Unsupervised text tokenizer focused on computational efficiency
Source code for Twitter's Recommendation Algorithm
A Python API for interacting with Tron (TRX)
A Python implementation of the Ethereum Virtual Machine
PyTorch implementation of some attentions for Deep Learning Researchers.
YSDA course in Speech Processing.
YSDA course in Natural Language Processing
A course in reinforcement learning in the wild
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
Example using sqlite with a Pytorch Dataset Interface