Papers Object Recognition
“Object Recognition” 태그가 달린 논문 2,198편 · 필터 해제
TouchTherm: Building Multimodal Digital Twins of Objects for Tactile and Thermal Rendering
Robotic simulation and virtual reality increasingly require object assets that capture not only visual geometry but also the physical cues underlying tactile and thermal interaction. Existing 3D datasets and reconstructi…
Object RecognitionCommonsense Reasoning in Computer Vision: Foundations, Recent Advancements, and Future Directions
Commonsense reasoning in computer vision encompasses integrating visual data and contextual knowledge, crucial for enhancing AI's understanding of everyday scenarios. This understanding not only improves machine learning…
Object RecognitionKnowledge GraphsTexture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural Networks
Texture image classification plays a significant role in computer vision applications, including industrial inspection, medical image analysis, remote sensing, and object recognition. Handcrafted features can capture loc…
Image ClassificationObject RecognitionEgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding
Reliable visual safety understanding in real-world scenarios demands more than just object recognition; it requires causal reasoning under epistemic uncertainty. While Large Vision-Language Models (LVLMs) demonstrate imp…
Binary ClassificationObject RecognitionSAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models
Vision-Language-Action (VLA) models have shown strong potential for general robot manipulation, but most existing models rely on 2D visual-language backbones and lack fine-grained 3D understanding of target objects, espe…
Object RecognitionRobot ManipulationPoint CloudsCRAG-MM-Diagnostics: Enabling Stage-Wise Analysis of Knowledge-Intensive VQA
Knowledge-Intensive Visual Question Answering (KI-VQA) benchmarks evaluate Vision-Language Models (VLMs) as multimodal knowledge assistants by requiring external information beyond a provided image to answer questions. K…
Visual Question AnsweringReferring ExpressionObject RecognitionVisual GroundingSTSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
The primate visual system is typically divided into two streams - the ventral stream, responsible for object recognition, and the dorsal stream, responsible for encoding spatial relations and motion. Recent studies have …
Object RecognitionTexture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception
In computational vision science, Convolutional Neural Networks (CNNs) have emerged as a popular model of biological vision because of the alignment they can exhibit with neural and behavioral data in humans and animals. …
Object RecognitionModeling the Impact of Visual Brand Language on Attention, Object Recognition, and Memory Retrieval
Visual brand language is the set of visual properties that convey brand identity for a product. What is the impact of visual brand language on a person's ability to recognize and understand the functional identity of an …
Object RecognitionIDEAL-Bench: Indoor Dataset and Evaluation suite for Analyzing 3D Layout reasoning
Spatial question answering is the dominant paradigm for evaluating spatial intelligence in Vision-Language Models (VLMs), but it leaves a complementary axis of spatial competence under-evaluated: holistic 3D layout infer…
Object RecognitionQuestion AnsweringSpatial ReasoningOmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial Mapping
Spatial intelligence remains a persistent challenge for Multimodal Large Language Models (MLLMs), as it requires coherent spatial scene representations beyond basic object recognition. Existing methods typically build su…
Object RecognitionSpatial Reasoning3D ReconstructionGeometric Reconstruction of Extrinsic Contact Trajectories using Tactile Sensing and Proprioception for Tool Manipulation
Tactile sensing enables robots to perceive rich contact information at the grasp, supporting tasks such as object recognition, in-hand pose estimation, and slip detection. However, in many tool-mediated manipulation task…
Hand Pose EstimationObject RecognitionLEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation
Vision Foundation Models (VFMs) with Vision Transformer (ViT) backbones, such as DINOv2, have become essential for downstream tasks like object recognition and semantic segmentation. The immense computational requirement…
Knowledge DistillationSemantic SegmentationObject RecognitionERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI
Generalist embodied agents require more than object recognition: they must reason about spatial relations, actions, procedures, human intentions, environmental constraints, and commonsense consequences from situated visu…
Question GenerationObject RecognitionQuestion AnsweringSpatial ReasoningLearning a Maximum Entropy Model for Visual Textures using Diffusion
Visual textures -- spatially homogeneous image regions containing repeated elements (e.g. a field of grass, the bark of a tree) -- are ubiquitous in visual scenes and provide important cues for recognizing and analyzing …
Object RecognitionOmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
Traffic scene understanding requires models to reason beyond object recognition, including lane topology, multi-view geometry, temporal evolution, and signal-phase semantics. However, existing traffic-oriented multimodal…
Multimodal ReasoningScene UnderstandingObject RecognitionTowards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025
As a long-standing challenge in robotic manipulation, stable and efficient grasping in cluttered environments is of great importance in industrial settings. While recent studies have achieved relatively high success rate…
Object RecognitionRobotic GraspingGIVE: Grounding Human Gestures in Vision-Language-Action Models
Human communication is inherently multimodal, where language is often accompanied by non-verbal cues such as gestures to convey intentions. However, current Vision-Language-Action (VLA) models treat robotic manipulation …
Object RecognitionDual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning
Unsupervised video object-centric learning aims to decompose dynamic scenes into persistent, object-level representations without supervision. However, existing slot-based methods struggle to maintain stable object ident…
Object RecognitionGrowing a Neural Network in Breadth, Depth, and Time
Spatial and temporal resource constraints are critical for both biological and artificial intelligent systems. Here we define differentiable cost terms for breadth, depth, and time within a recurrent convolutional neural…
Object Recognition