https://github.com/rd20karim/mb-ores
공식 코드MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing
Papers with Code 아카이브
Visual Grounding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 20
Visual Grounding (VG) aims to locate the most relevant object or region in an image, based on a natural language query. The query can be a phrase, a sentence, or even a multi-round dialogue. There are three main challenges in VG:
- What is the main focus in a query?
- How to understand an image?
- How to locate an object?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/retkowsky/florence-2
공식 코드Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
https://github.com/rubics-xuan/ivg
공식 코드https://github.com/rubics-xuan/mres
공식 코드Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation
https://github.com/rui-qian/read
공식 코드Reasoning to Attend: Try to Understand How <SEG> Token Works
https://github.com/ruoyuchen10/vps
공식 코드Interpreting Object-level Foundation Models via Visual Precision Search
https://github.com/saba96/img-cap-metrics-robustness
공식 코드An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
https://github.com/sail-sg/ptp
공식 코드Position-guided Text Prompt for Vision-Language Pre-training
https://github.com/salesforceairesearch/taco
공식 코드TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
https://github.com/sameerdharur/sorting-vqa
공식 코드SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency
https://github.com/sean-zhuh/seqtr
공식 코드https://github.com/sega-hsj/mvt-3dvg
공식 코드https://github.com/selinakhan/CIGAr
공식 코드https://github.com/sensengao/vlptransferattack
공식 코드https://github.com/shenyunhang/ape
공식 코드Aligning and Prompting Everything All at Once for Universal Visual Perception
https://github.com/show-han/zeroshot_rec
공식 코드Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions
https://github.com/sled-group/chat-with-nerf
공식 코드LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
https://github.com/smarter-vlm/smarter
공식 코드https://github.com/solkx/m3d
공식 코드https://github.com/sunsleaf/csvg
공식 코드Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems
https://github.com/sunsmarterjie/chatterbox
공식 코드https://github.com/superagi/veagle
공식 코드https://github.com/svip-lab/LBYLNet
공식 코드Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
https://github.com/szzexpoi/rex
공식 코드https://github.com/technicolor-research/dsve-loc
공식 코드Finding beans in burgers: Deep semantic-visual embedding with localization
https://github.com/thunlp/cpt
공식 코드CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
https://github.com/thunlp/deepperception
공식 코드https://github.com/tsb0601/MMVP
공식 코드Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
https://github.com/ttumyche/cxreasonbench
공식 코드CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
https://github.com/ubc-vision/RefTR
공식 코드Referring Transformer: A One-step Approach to Multi-task Visual Grounding
https://github.com/usydnlp/rovist
공식 코드https://github.com/uvavision/amc-grounding
공식 코드Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
https://github.com/vectorinstitute/humanibench
공식 코드HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
https://github.com/vineet2104/hifics
공식 코드HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language Models
https://github.com/waynetomas/transcp
공식 코드Context Disentangling and Prototype Inheriting for Robust Visual Grounding
https://github.com/waynetomas/vpp-llava
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.