fiveai / detection_calibration

Related projects ⓘ

Alternatives and complementary repositories for detection_calibration

• akhtarvision / bpc_calibration
  [CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
  ☆32Updated last year
• Bala93 / CLIPCalib
  Model calibration in CLIP Adapters
  ☆12Updated 3 months ago
• bjzhb666 / GS-LoRA
  Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
  ☆39Updated last month
• astra-vision / FAMix
  [CVPR 2024] Official repository of "A Simple Recipe for Language-guided Domain Generalized Segmentation"
  ☆40Updated this week
• sinahmr / NACLIP
  PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"
  ☆42Updated last month
• CityU-AIM-Group / SOMA
  [ICCV' 23 ORAL] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
  ☆37Updated 8 months ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
  ☆56Updated 3 months ago
• scuwyh2000 / RandBox
  [ICCV 2023] PyTorch implementation of RandBox
  ☆52Updated last year
• mlpc-ucsd / MasQCLIP
  (ICCV 2023) MasQCLIP for Open-Vocabulary Universal Image Segmentation
  ☆34Updated last year
• yasserben / CLOUDS
  [CVPR 2024] Official Implementation of Collaborating Foundation models for Domain Generalized Semantic Segmentation
  ☆61Updated 4 months ago
• Anonymous-012 / SVDP
  [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
  ☆24Updated 6 months ago
• DZhaoXd / SND
  Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation (CVPR-2024)
  ☆14Updated 5 months ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆44Updated 2 weeks ago
• MaxZanella / MTA
  [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentati…
  ☆43Updated 3 months ago
• akhtarvision / cal-detr
  ☆41Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆61Updated 5 months ago
• YCaigogogo / CODER
  ☆16Updated 6 months ago
• visinf / adapter_plus
  [CVPR 2024] Official implementation of "Adapters Strike Back"
  ☆32Updated 3 months ago
• Yangsenqiao / vida
  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  ☆54Updated 6 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆62Updated 4 months ago
• mc-lan / ClearCLIP
  [ECCV2024] ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
  ☆65Updated 3 months ago
• OSU-MLB / Fine-Tuning-Is-Fine-If-Calibrated
  Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024
  ☆14Updated last month
• Ferenas / PGSeg
  This is the official code of "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation, NeurIPS 23"
  ☆25Updated 11 months ago
• IemProg / CoFiMA
  🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
  ☆19Updated 3 months ago
• naver / relis
  Code for the paper "Reliability in Semantic Segmentation: Are We on the Right Track?", CVPR 2023
  ☆22Updated 4 months ago
• WalterSimoncini / fungivision
  Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
  ☆27Updated 3 weeks ago
• HAIV-Lab / SSIAT
  CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
  ☆18Updated 6 months ago
• HashmatShadab / Robustness-of-Volumetric-Medical-Segmentation-Models
  [BMVC 2024] On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
  ☆14Updated 3 weeks ago
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆17Updated 2 months ago