HHousen / object-discovery-pytorch
An implementation of several unsupervised object discovery models (Slot Attention, SLATE, GNM) in PyTorch with pre-trained models.
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for object-discovery-pytorch
- IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks☆59Updated last month
- ☆69Updated last year
- [CVPR 2024 Highlight] SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers☆53Updated 5 months ago
- This repository is the official implementation of Improving Object-centric Learning With Query Optimization☆50Updated last year
- Official Code for Neural Systematic Binder☆29Updated last year
- Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV23☆26Updated last month
- Code for paper "Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning"☆23Updated last year
- Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models☆78Updated 10 months ago
- Official code for Slot-Transformer for Videos (STEVE)☆42Updated last year
- Code for NeurIPS 2022 paper "Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space"☆18Updated last year
- This repo contains the official implementation of ICLR 2024 paper "Is ImageNet worth 1 video? Learning strong image encoders from 1 long …☆61Updated 6 months ago
- ☆39Updated 6 months ago
- Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"☆58Updated 8 months ago
- Official implementation of the CVPR'24 paper [Adaptive Slot Attention: Object Discovery with Dynamic Slot Number]☆24Updated this week
- Official implementation of the NeurIPS 2023 paper "Self-supervised Object-Centric Learning for Videos"☆22Updated 9 months ago
- [ECCV 2024] Code for Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation☆27Updated 4 months ago
- Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.☆24Updated last year
- Unsupervised Semantic Correspondence Using Stable Diffusion☆55Updated 11 months ago
- Perceptual Grouping in Contrastive Vision-Language Models (ICCV'23)☆37Updated 10 months ago
- ☆39Updated 9 months ago
- ☆9Updated 7 months ago
- [NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation☆72Updated 4 months ago
- [NeurIPS 2022] Segmenting Moving Objects via an Object-Centric Representation. Junyu Xie, Weidi Xie, Andrew Zisserman.☆26Updated 11 months ago
- ☆33Updated 2 years ago
- Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"☆31Updated 8 months ago
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆27Updated 7 months ago
- Code for the paper "AMEGO: Active Memory from long EGOcentric videos" published at ECCV 2024☆29Updated last month
- Official code repo of PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs☆24Updated 5 months ago
- Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)☆22Updated 3 months ago
- [ECCV2024, Oral, Best Paper Finalist]This is the official implementation of the paper "LEGO: Learning EGOcentric Action Frame Generation …☆33Updated 2 weeks ago