Papers Keypoint Detection
“Keypoint Detection” 태그가 달린 논문 391편 · 필터 해제
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
Deep neural networks have been widely adopted in many vision and robotics applications with visual inputs. It is essential to verify its robustness against semantic transformation perturbations, such as brightness and co…
Keypoint DetectionNetwork PruningPANICL: Mitigating Over-Reliance on Single Prompt in Visual In-Context Learning
Visual In-Context Learning (VICL) uses input-output image pairs, referred to as in-context pairs (or examples), as prompts alongside query images to guide models in performing diverse vision tasks. However, VICL often su…
Object SegmentationKeypoint DetectionObject DetectionBridging the Gap Between Sparsity and Redundancy: A Dual-Decoding Framework with Global Context for Map Inference
Trajectory data has become a key resource for automated map in-ference due to its low cost, broad coverage, and continuous availability. However, uneven trajectory density often leads to frag-mented roads in sparse areas…
Keypoint DetectionComputational Imaging for Enhanced Computer Vision
This paper presents a comprehensive survey of computational imaging (CI) techniques and their transformative impact on computer vision (CV) applications. Conventional imaging methods often fail to deliver high-fidelity v…
Keypoint DetectionDepth EstimationObject DetectionFace RecognitionEstimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation
This paper presents a novel pipeline for 2D keypoint estima- tion of surgical tools by leveraging Vision Language Models (VLMs) fine- tuned using a low rank adjusting (LoRA) technique. Unlike traditional Convolutional Ne…
Keypoint DetectionPose EstimationDroneKey: Drone 3D Pose Estimation in Image Sequences using Gated Key-representation and Pose-adaptive Learning
Estimating the 3D pose of a drone is important for anti-drone systems, but existing methods struggle with the unique challenges of drone keypoint detection. Drone propellers serve as keypoints but are difficult to detect…
3D Pose EstimationKeypoint DetectionHOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Hand-object 3D reconstruction has become increasingly important for applications in human-robot interaction and immersive AR/VR experiences. A common approach for object-agnostic hand-object reconstruction from RGB seque…
Multi-View 3D ReconstructionKeypoint DetectionStable Diffusion Models are Secretly Good at Visual In-Context Learning
Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) -- the ability to leverage a few sets of example prompts to adapt to various tasks without …
Semantic SegmentationKeypoint DetectionObject DetectionEdge DetectionHead Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking
Visual pedestrian tracking represents a promising research field, with extensive applications in intelligent surveillance, behavior analysis, and human-computer interaction. However, real-world applications face signific…
Multi-Object TrackingKeypoint DetectionMitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
The Federated Learning (FL) approach enables effective learning across distributed systems, while preserving user data privacy. To date, research has primarily focused on addressing statistical heterogeneity and communic…
Knowledge DistillationFederated LearningKeypoint DetectionPose EstimationA 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration
Intraoperative registration of real-time ultrasound (iUS) to preoperative Magnetic Resonance Imaging (MRI) remains an unsolved problem due to severe modality-specific differences in appearance, resolution, and field-of-v…
Keypoint DetectionImage RegistrationToward a Real-Time Framework for Accurate Monocular 3D Human Pose Estimation with Geometric Priors
Monocular 3D human pose estimation remains a challenging and ill-posed problem, particularly in real-time settings and unconstrained environments. While direct imageto-3D approaches require large annotated datasets and h…
Monocular 3D Human Pose EstimationKeypoint Detection3D Pose EstimationKptLLM++: Towards Generic Keypoint Comprehension with Large Language Model
The emergence of Multimodal Large Language Models (MLLMs) has revolutionized image understanding by bridging textual and visual modalities. However, these models often struggle with capturing fine-grained semantic inform…
Keypoint DetectionLanguage ModelingLanguage ModellingLarge Language Model+1GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft
Monocular pose estimation of non-cooperative spacecraft is significant for on-orbit service (OOS) tasks, such as satellite maintenance, space debris removal, and station assembly. Considering the high demands on pose est…
Keypoint DetectionPose EstimationFPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
The extraction and matching of interest points are fundamental to many geometric computer vision tasks. Traditionally, matching is performed by assigning descriptors to interest points and identifying correspondences bas…
Keypoint DetectionDoodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailable. This gap is addressed by leveraging …
Domain AdaptationFew-Shot LearningKeypoint DetectionReading a Ruler in the Wild
Accurately converting pixel measurements into absolute real-world dimensions remains a fundamental challenge in computer vision and limits progress in key applications such as biomedicine, forensics, nutritional analysis…
Keypoint DetectionMK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning
Category-level object pose estimation, which predicts the pose of objects within a known category without prior knowledge of individual instances, is essential in applications like warehouse automation and manufacturing.…
Keypoint DetectionPose EstimationTimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
Fast and scalable alignment of time series is a fundamental challenge in many domains. The standard solution, Dynamic Time Warping (DTW), struggles with poor scalability and sensitivity to noise. We introduce TimePoint, …
Dynamic Time WarpingKeypoint DetectionTime SeriesTime Series Alignment+1Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPU
Robust long-term visual localization in complex industrial environments is critical for mobile robotic systems. Existing approaches face limitations: handcrafted features are illumination-sensitive, learned features are …
CPUKeypoint DetectionPose EstimationVisual Localization