Papers with Code 아카이브
Object Discovery
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Object Discovery is the task of identifying previously unseen objects.
Source: Unsupervised Object Discovery and Segmentation of RGBD-images
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FORLA:Federated Object-centric Representation Learning with Slot Attention
Binding threshold units with artificial oscillatory neurons
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
Are We Done with Object-Centric Learning?
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion
OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
Slot-BERT: Self-supervised Object Discovery in Surgical Video
FrontierNet: Learning Visual Cues to Explore
Leveraging Registers in Vision Transformers for Robust Adaptation
Temporally Consistent Object-Centric Learning by Contrasting Slots
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior
Online Episodic Memory Visual Query Localization with Egocentric Streaming Object Memory
PickScan: Object discovery and reconstruction from handheld interactions
Bootstrapping Top-down Information for Self-modulating Slot Attention
Grouped Discrete Representation for Object-Centric Learning
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
Artificial Kuramoto Oscillatory Neurons
SURGIVID: Annotation-Efficient Surgical Video Object Discovery
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
Zero-Shot Object-Centric Representation Learning
Guided Latent Slot Diffusion for Object-Centric Learning
XS-VID: An Extremely Small Video Object Detection Dataset
PEEKABOO: Hiding parts of an image for unsupervised object localization
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
Towards Open-set Camera 3D Object Detection
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.