https://github.com/chreisinger/ViLGOD
공식 코드Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
VISA: Reasoning Video Object Segmentation via Large Language Models
VISA: Reasoning Video Object Segmentation via Large Language Models
Towards Robust Adaptive Object Detection under Noisy Annotations
QAHOI: Query-Based Anchors for Human-Object Interaction Detection
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data
Towards Interpreting Visual Information Processing in Vision-Language Models
Learning Object-Language Alignments for Open-Vocabulary Object Detection
CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
Multimodal Transformer for Automatic 3D Annotation and Object Detection
A Hand Motion-guided Articulation and Segmentation Estimation
Evaluating Weakly Supervised Object Localization Methods Right
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
Fast Video Object Segmentation using the Global Context Module
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
PoseIt: A Visual-Tactile Dataset of Holding Poses for Grasp Stability Analysis
Deep Learning-Based Object Pose Estimation: A Comprehensive Survey
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.