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Weakly Supervised Object Detection

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평가표: 17
보존된 평가 기록: 139

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

<span style="color:grey; opacity: 0.6">( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1170300714/w2n_wsod

공식 코드

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

https://github.com/Bartzi/loans

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LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks

https://github.com/DeLightCMU/CASD

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Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection

https://github.com/DongSky/lbba_boosted_wsod

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Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters

https://github.com/NVlabs/wetectron

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Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

https://github.com/WinFrand/MELM

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Min-Entropy Latent Model for Weakly Supervised Object Detection

https://github.com/Winfrand/C-MIL

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C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

https://github.com/Wuziyi616/LEOD

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LEOD: Label-Efficient Object Detection for Event Cameras

https://github.com/akhilpm/semiwsod

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Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

https://github.com/barisbatuhan/dass_det_inference

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barisbatuhan/dass_detector

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/bigvideoresearch/OIM

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Object Instance Mining for Weakly Supervised Object Detection

https://github.com/chaoqichen/HTCN

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Harmonizing Transferability and Discriminability for Adapting Object Detectors

https://github.com/chongqingnosubway/pdl

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PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

https://github.com/ckm3/deep-lc

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Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework

https://github.com/damaggu/tadp

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Text-image Alignment for Diffusion-based Perception

https://github.com/deepplants/vit-pcm

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Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation

https://github.com/gkioxari/RstarCNN

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Contextual Action Recognition with R*CNN

https://github.com/hbilen/WSDDN

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Weakly Supervised Deep Detection Networks

https://github.com/hustvl/weaksam

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WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition

https://github.com/huyvvo/bib

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Active Learning Strategies for Weakly-supervised Object Detection

https://github.com/hzx-9894/mma

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Smart Feature is What You Need

https://github.com/jinhseo/od-wscl

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Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

https://github.com/kodenii/imaginarynet

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ImaginaryNet: Learning Object Detectors without Real Images and Annotations

https://github.com/luiszeni/Boosted-OICR

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Distilling Knowledge from Refinement in Multiple Instance Detection Networks

https://github.com/makhtar17004/orientation-aware-firearm-detection

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Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization

https://github.com/mikuhatsune/wsod_transfer

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Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer

https://github.com/moinnabi/SelfPacedDeepLearning

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Self Paced Deep Learning for Weakly Supervised Object Detection

https://github.com/naoto0804/cross-domain-detection

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Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

https://github.com/neouyghur/sess

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SESS: Saliency Enhancing with Scaling and Sliding

https://github.com/nicaogr/Mi_max

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Weakly Supervised Object Detection in Artworks

https://github.com/pcasolab/vdst-net

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Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video

https://github.com/philip-mueller/adpd

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Anatomy-Driven Pathology Detection on Chest X-rays

https://github.com/philip-mueller/wsrpn

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Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling

https://github.com/ppengtang/oicr

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Multiple Instance Detection Network with Online Instance Classifier Refinement

https://github.com/sbasu276/Weakly_DETR

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Gall Bladder Cancer Detection from US Images with Only Image Level Labels

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