https://github.com/ntu-icg/fm-planner
공식 코드FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
Papers with Code 아카이브
Content-Based Image Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 1
- 보존된 평가 기록
- 1
Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval. Given a query image of the Sydney Harbour bridge, for instance, category-level retrieval aims to find any bridge in a given dataset of images, whilst instance-level retrieval must find the Sydney Harbour bridge to be considered a match.
Source: Camera Obscurer: Generative Art for Design Inspiration
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oulu-imeds/adatriplet
공식 코드https://github.com/patchadversarialattacks/patchadversarialattacks
공식 코드Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
https://github.com/pidahbus/deepCBIR
공식 코드https://github.com/torrvision/straighttoshapes
공식 코드Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
https://github.com/tudelft/risk-sensitive-rl
공식 코드https://github.com/vaishwarya96/hierarchy-image-retrieval
공식 코드Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval
https://github.com/wickstrom/clinical-self-supervised-cbir-ct-liver
공식 코드A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
https://github.com/wtyhub/LPN
공식 코드Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
https://github.com/yinjiehuang/StarSHL
공식 코드https://github.com/AggMan96/RK-Net
https://github.com/ChuuyaZZZ/6787-Final-project
https://github.com/MeRKeZ/DeepDrone_Airsim
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
https://github.com/UDLF/UDLF
https://github.com/Visual-Computing/MCIP
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
https://github.com/adipai/haralick-textural-feature-analysis
Gray Level Co-Occurrence Matrices: Generalisation and Some New Features
https://github.com/cvankir2/nsf_auburn
Drone Path-Following in GPS-Denied Environments using Convolutional Networks
https://github.com/layumi/AICIty-reID-2020
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/microsoft/computervision-recipes/blob/master/scenarios/similarity/02_state_of_the_art.ipynb
Classification is a Strong Baseline for Deep Metric Learning
https://github.com/pshroff04/Dual_Path_CNN
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
https://github.com/tanyakoh/CBIR
https://github.com/wickstrom/relax
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
https://github.com/zfcui33/CCA
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.