Papers with Code 아카이브
Object Recognition
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Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.
<span style="color:grey; opacity: 0.6">( Image credit: Tensorflow Object Detection API )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Out-of-distribution detection in 3D applications: a review
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
Continual Hyperbolic Learning of Instances and Classes
DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
Aligning Text, Images, and 3D Structure Token-by-Token
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
Feature-Based Lie Group Transformer for Real-World Applications
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
TrackVLA: Embodied Visual Tracking in the Wild
SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels
ADD-SLAM: Adaptive Dynamic Dense SLAM with Gaussian Splatting
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation
Refining Neural Activation Patterns for Layer-Level Concept Discovery in Neural Network-Based Receivers
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI
Model alignment using inter-modal bridges
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding
A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning in People with Blindness and Low Vision
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
Visually Interpretable Subtask Reasoning for Visual Question Answering
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM
LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
V$^2$R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations
Quantum Doubly Stochastic Transformers
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