Papers with Code 아카이브
Image Instance Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
Image Instance Retrieval is the problem of retrieving images from a database representing the same object or scene as the one depicted in a query image.
Source: Compression of Deep Neural Networks for Image Instance Retrieval
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Amodal Instance Segmentation with Diffusion Shape Prior Estimation
Foundation Models for Amodal Video Instance Segmentation in Automated Driving
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
AISFormer: Amodal Instance Segmentation with Transformer
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Layered Embeddings for Amodal Instance Segmentation
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
Pruning Convolutional Neural Networks for Image Instance Retrieval
Compression of Deep Neural Networks for Image Instance Retrieval
Amodal Instance Segmentation
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Group Invariant Deep Representations for Image Instance Retrieval
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.