amro-kamal / ObjectPose
☆13Updated 2 years ago
Alternatives and similar repositories for ObjectPose
Users that are interested in ObjectPose are comparing it to the libraries listed below
Sorting:
- [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …☆22Updated last year
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- ☆23Updated 6 months ago
- The Structure and Interpretation of Deep Networks Handbook☆12Updated 5 months ago
- ☆13Updated 3 years ago
- ☆26Updated 3 years ago
- ☆24Updated last year
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- ☆41Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 2 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 7 months ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆12Updated 11 months ago
- ☆25Updated 4 years ago
- ☆17Updated 2 years ago
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18Updated 2 years ago
- ☆34Updated last year
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Out-of-distribution generalization benchmarks for image recognition models☆14Updated 5 years ago
- Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)☆32Updated last year
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Self-Supervised Object Detection via Generative Image Synthesis☆28Updated 3 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- ☆14Updated 3 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 3 years ago
- Code for Task2Sim (CVPR'22)☆24Updated 2 years ago