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Open Vocabulary Object Detection
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Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open) vocabulary at inference.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lizzy8587/castdet
공식 코드Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
https://github.com/lmb-freiburg/locov
공식 코드Localized Vision-Language Matching for Open-vocabulary Object Detection
https://github.com/lmb-freiburg/ovqa
공식 코드https://github.com/lorebianchi98/fg-clip
공식 코드Is CLIP the main roadblock for fine-grained open-world perception?
https://github.com/lorebianchi98/fg-ovd
공식 코드https://github.com/lovelyqian/CDFSOD-benchmark
공식 코드Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
https://github.com/lutingwang/oadp
공식 코드Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
https://github.com/machengcheng2016/Subspace-Prompt-Learning
공식 코드Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
https://github.com/mala-lab/sic-cads
공식 코드Simple Image-level Classification Improves Open-vocabulary Object Detection
https://github.com/mcahny/rovit
공식 코드Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
https://github.com/mengqidyangge/hierkd
공식 코드Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
https://github.com/microsoft/GLIP
공식 코드GLIPv2: Unifying Localization and Vision-Language Understanding
https://github.com/microsoft/regionclip
공식 코드https://github.com/mlvlab/RALF
공식 코드https://github.com/mlzxy/devit
공식 코드https://github.com/naver/shine
공식 코드SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
https://github.com/om-ai-lab/OmDet
공식 코드OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
https://github.com/om-ai-lab/groundvlp
공식 코드https://github.com/om-ai-lab/vlm-r1
공식 코드VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pagf188/raxo
공식 코드Superpowering Open-Vocabulary Object Detectors for X-ray Vision
https://github.com/pallgeuer/novic
공식 코드https://github.com/pallgeuer/object_noun_dictionary
공식 코드https://github.com/pealing/medet
공식 코드Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
https://github.com/peixianchen/medet
공식 코드Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
https://github.com/pku-icst-mipl/sia-ovd_acmmm2024
공식 코드SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
https://github.com/rohit901/cooperative-foundational-models
공식 코드Enhancing Novel Object Detection via Cooperative Foundational Models
https://github.com/row11n/prova
공식 코드https://github.com/rsCPSyEu/ovd_cod
공식 코드https://github.com/ruiyangju/fracture_detection_improved_yolov8
공식 코드YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection
https://github.com/salesforce/lavis
공식 코드Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/salesforce/pb-ovd
공식 코드Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
https://github.com/seermer/RTGen
공식 코드RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection
https://github.com/shikras/d-cube
공식 코드Described Object Detection: Liberating Object Detection with Flexible Expressions
https://github.com/tensorflow/tpu
공식 코드Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.