https://github.com/343gltysprk/ovow
공식 코드From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Papers with Code 아카이브
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/360cvgroup/fg-clip
공식 코드https://github.com/KyanChen/OvarNet
공식 코드OvarNet: Towards Open-vocabulary Object Attribute Recognition
https://github.com/OVAD-Benchmark/ovad-bechmark-code
공식 코드https://github.com/Pointcept/OpenIns3D
공식 코드OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
https://github.com/UVA-Computer-Vision-Lab/ovmono3d
공식 코드https://github.com/Xuan-World/Mamba-YOLO-World
공식 코드Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection
https://github.com/Zhourobotics/Query-3DGS-LLM
공식 코드Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian
https://github.com/ailab-cvc/yolo-world
공식 코드https://github.com/ais-clemson/visiongpt
공식 코드VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
https://github.com/alirezazareian/ovr-cnn
공식 코드https://github.com/amazon-science/prompt-pretraining
공식 코드Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
https://github.com/atten4vis/lw-detr
공식 코드OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer
https://github.com/b-faye/lightmdetr
공식 코드A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training
https://github.com/chen-xin-94/dart
공식 코드https://github.com/chengshiest/zip-your-clip
공식 코드https://github.com/clin1223/vldet
공식 코드Learning Object-Language Alignments for Open-Vocabulary Object Detection
https://github.com/clovaai/proxydet
공식 코드ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
https://github.com/coo1sea/ovt-b-dataset
공식 코드OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
https://github.com/cv516buaa/ov-vg
공식 코드https://github.com/cvmi-lab/codet
공식 코드CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
https://github.com/dvlab-research/Seg-Zero
공식 코드Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
https://github.com/dyabel/detpro
공식 코드Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
https://github.com/eternaldolphin/lami-detr
공식 코드LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
https://github.com/facebookresearch/Detic
공식 코드Detecting Twenty-thousand Classes using Image-level Supervision
https://github.com/fiveai/MoCaE
공식 코드MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
https://github.com/foundationvision/generateu
공식 코드Generative Region-Language Pretraining for Open-Ended Object Detection
https://github.com/google-research/google-research
공식 코드Region-centric Image-Language Pretraining for Open-Vocabulary Detection
https://github.com/google-research/google-research/tree/master/fvlm
공식 코드F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
https://github.com/google-research/google-research/tree/master/fvlm/dito
공식 코드Region-centric Image-Language Pretraining for Open-Vocabulary Detection
https://github.com/google-research/google-research/tree/master/fvlm/rovit
공식 코드Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit
공식 코드Simple Open-Vocabulary Object Detection with Vision Transformers
https://github.com/gpt4vision/OvSGTR
공식 코드https://github.com/isee-laboratory/hd-ovd
공식 코드A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection
https://github.com/jaychempan/LAE-DINO
공식 코드Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
https://github.com/laion-ai/scaling-laws-openclip
공식 코드Reproducible scaling laws for contrastive language-image learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.