Alternatives and similar repositories for rodeo

Users that are interested in rodeo are comparing it to the libraries listed below

• kshmelkov / incremental_detectors
  Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"
  ☆141Updated 5 years ago
• JosephKJ / iOD
  (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
  ☆137Updated 3 years ago
• nasir6 / zero_shot_detection
  ☆64Updated 4 years ago
• alexrame / mixmo-pytorch
  Official Pytorch implementation of MixMo framework
  ☆83Updated 4 years ago
• sud0301 / essentials_for_CIL
  Official repository of the paper 'Essentials for Class Incremental Learning'
  ☆42Updated 4 years ago
• sharat29ag / CDAL
  ☆47Updated last year
• Megvii-BaseDetection / DisAlign
  Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
  ☆118Updated 4 years ago
• soo89 / CSD-SSD
  ☆83Updated 4 years ago
• Vastlab / Elephant-of-object-detection
  ☆28Updated 5 years ago
• RE-OWOD / RE-OWOD
  revisiting open world object detection
  ☆78Updated 3 years ago
• ifnspaml / CIL_Segmentation
  [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
  ☆35Updated 5 years ago
• FaisalAlamri0 / ViT-ZSL
  Multi-Headed Self-Attention via Vision Transformer for Zero-Shot Learning (ViT-ZSL)
  ☆33Updated 4 years ago
• Ze-Yang / Context-Transformer
  Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
  ☆108Updated 4 years ago
• soo89 / ISD-SSD
  ☆15Updated 4 years ago
• microsoft / SNR
  Style Normalization and Restitution for Domain Generalization and Adaptation
  ☆75Updated 2 years ago
• MrtnMndt / Deep_Openset_Recognition_through_Uncertainty
  PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…
  ☆92Updated 3 years ago
• yichen928 / FreeSel
  [NeurIPS 2023] Towards Free Data Selection with General-Purpose Models
  ☆41Updated 10 months ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆102Updated 2 years ago
• Yuxin-CV / DTN
  [AAAI-2020, Oral] Diversity Transfer Network for Few-Shot Learning
  ☆62Updated 5 years ago
• LTTM / IL-SemSegm
  Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
  ☆61Updated 5 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 3 years ago
• zhunzhong07 / NCL
  Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
  ☆75Updated 3 years ago
• frank-xwang / towards-universal-object-detection
  [CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."
  ☆76Updated 2 years ago
• CASIA-LMC-Lab / ACSL
  Adaptive Class Suppression Loss for Long-Tail Object Detection--CVPR2021
  ☆81Updated 4 years ago
• BIT-DA / DDA
  Code release for "Dynamic Domain Adaptation for Efficient Inference" (CVPR 2021)
  ☆34Updated 4 years ago
• Yikai-Wang / ICI-FSL
  This repository contains the code for Instance Credibility Inference (ICI).
  ☆85Updated 4 years ago
• Tsingularity / PoseNorm_Fewshot
  (CVPR 2020) Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
  ☆40Updated 4 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 3 years ago
• MingiJi / FRSKD
  Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)
  ☆103Updated last year
• fcdl94 / MMA
  Modeling Missing Annotations for Incremental Learning in Object Detection
  ☆28Updated 3 years ago