Alternatives and similar repositories for papersFromOpenaccess

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

• yanxp / MetaR-CNN
  Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
  ☆201Updated 5 years ago
• piddnad / few-shot-object-detection-papers
  📄 A paper list of Few-shot Object Detection.
  ☆140Updated 4 years ago
• rfelixmg / pytorch.repmet
  Currently: Magnet Loss and RepMet in pytorch .. Later: Stay Tuned
  ☆16Updated 3 years ago
• Ze-Yang / Context-Transformer
  Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
  ☆107Updated 4 years ago
• jiaxi-wu / MPSR
  Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020
  ☆141Updated 5 years ago
• tiancity-NJU / da-faster-rcnn-PyTorch
  An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’
  ☆137Updated 5 years ago
• jshtok / RepMet
  Few-shot detection for visual categories
  ☆114Updated 3 years ago
• Bohao-Lee / CME
  ☆66Updated 3 years ago
• krumo / Domain-Adaptive-Faster-RCNN-PyTorch
  Domain Adaptive Faster R-CNN in PyTorch
  ☆327Updated 3 years ago
• Tsingularity / FRN
  (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks
  ☆126Updated 2 years ago
• HX-idiot / Dynamic-Few-Shot-Visual-Learning-without-Forgetting
  pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version
  ☆42Updated 6 years ago
• bingykang / Fewshot_Detection
  Few-shot Object Detection via Feature Reweighting
  ☆564Updated 4 years ago
• blue-blue272 / fewshot-CAN
  Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).
  ☆217Updated 5 years ago
• fanq15 / FSOD-code
  ☆245Updated 5 years ago
• vieozhu / MAML-TensorFlow-1
  Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  ☆26Updated 7 years ago
• megvii-research / FSCE
  ☆291Updated 4 years ago
• liuweijie19980216 / NimPme
  Novel Instances Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection
  ☆14Updated 4 years ago
• megvii-research / CR-DA-DET
  The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
  ☆118Updated 5 years ago
• ChrisAllenMing / GPA-detection
  Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).
  ☆142Updated 4 years ago
• hzhupku / DCNet
  Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021
  ☆154Updated 4 years ago
• VisionLearningGroup / DA_Detection
  Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
  ☆357Updated 6 years ago
• chaoqichen / HTCN
  Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
  ☆114Updated 5 years ago
• LegenDong / ATL-Net
  The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.
  ☆20Updated 5 years ago
• kshmelkov / incremental_detectors
  Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"
  ☆141Updated 5 years ago
• fanq15 / Few-Shot-Object-Detection-Dataset
  ☆390Updated 5 years ago
• JosephKJ / iOD
  (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning
  ☆134Updated 2 years ago
• Tung-I / Dual-awareness-Attention-for-Few-shot-Object-Detection
  ☆98Updated 3 years ago
• encounter1997 / SFA
  Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"
  ☆101Updated 3 years ago
• er-muyue / DeFRCN
  ☆211Updated last year
• danganea / iMTFA
  Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'
  ☆75Updated 4 years ago