Natural World Tasks
☆43Oct 2, 2023Updated 2 years ago
Alternatives and similar repositories for newt
Users that are interested in newt are comparing it to the libraries listed below
Sorting:
- The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).☆15Aug 1, 2023Updated 2 years ago
- Sapsucker Woods 60 Audiovisual Dataset☆17Oct 7, 2022Updated 3 years ago
- Teaching Categories to Human Learners with Visual Explanations - CVPR 2018☆11Jun 21, 2022Updated 3 years ago
- ☆13Oct 7, 2024Updated last year
- Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023☆54Aug 5, 2024Updated last year
- ☆13May 12, 2025Updated 9 months ago
- This repo contains the evaluation code for the INQUIRE benchmark☆64Dec 18, 2024Updated last year
- Official implementation of "An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition", BMVC 2022☆12Dec 16, 2022Updated 3 years ago
- Pixel Propagation for unsupervised visual representation learning☆11Feb 16, 2021Updated 5 years ago
- ROS stack with footstep planning and localization for humanoid robots: http://wiki.ros.org/humanoid_navigation☆12Apr 17, 2018Updated 7 years ago
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18May 10, 2023Updated 2 years ago
- iNaturalist competition details☆804May 26, 2021Updated 4 years ago
- Code for the ECCV22 paper Demystifying Unsupervised Semantic Correspondence Estimation☆14Oct 18, 2022Updated 3 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Feb 7, 2021Updated 5 years ago
- Course material: AI for Nature & Environment☆22Aug 20, 2024Updated last year
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆186Oct 25, 2023Updated 2 years ago
- CNN training code for iNaturalist 2017 image classification competition☆17Jun 1, 2017Updated 8 years ago
- ☆19Jul 25, 2022Updated 3 years ago
- Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training …☆19May 29, 2022Updated 3 years ago
- ☆42Apr 25, 2021Updated 4 years ago
- ☆48Aug 2, 2021Updated 4 years ago
- A CLIP conditioned Decision Transformer.☆22Jul 14, 2021Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Oct 2, 2021Updated 4 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆31Apr 11, 2024Updated last year
- Official Repository of "Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery" (NeurIPS 2023)☆21Aug 4, 2025Updated 6 months ago
- SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models☆21Jan 11, 2024Updated 2 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Jul 18, 2018Updated 7 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Sep 2, 2021Updated 4 years ago
- SimCLR pytorch implementation using DistributedDataParallel.☆24Dec 8, 2022Updated 3 years ago
- Background subtraction and image classification for stationary cameras in ecological videos.☆27Apr 13, 2023Updated 2 years ago
- ☆57Dec 20, 2021Updated 4 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Aug 10, 2022Updated 3 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Jul 25, 2024Updated last year
- Code for Unsupervised Discovery of Multimodal Links in Multi-Image/Multi-Sentence Documents☆30Jul 22, 2020Updated 5 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆26Aug 22, 2023Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Dec 17, 2022Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 2 years ago
- A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand …☆34Dec 7, 2022Updated 3 years ago
- 无人机画面坦克检测定位系统源码分享[一条龙教学YOLOV8标注好的数据集一键训练_70+全套改进创新点发刊_Web前端展示]☆11Sep 12, 2024Updated last year