Papers Head Detection
“Head Detection” 태그가 달린 논문 53편 · 필터 해제
How Merge-Tolerant Are Vision Transformers for Wheat Phenotyping?
Vision-based wheat phenotyping requires repeated measurements under deployment constraints, from growth-stage recognition to wheat-head counting and organ segmentation. Plain Vision Transformers (ViTs) provide a common a…
Head DetectionCan Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models
Large vision-language models increasingly rely on long-context modeling to reason over documents, hour-level videos, and long-horizon agent trajectories, requiring them to locate relevant evidence across interleaved text…
Image RetrievalHead DetectionText RetrievalGaTector+: A Unified Head-free Framework for Gaze Object and Gaze Following Prediction
Gaze object detection and gaze following are fundamental tasks for interpreting human gaze behavior or intent. However, most previous methods usually solve these two tasks separately, and their prediction of gaze objects…
Object DetectionHead DetectionVelocityNet: Real-Time Crowd Anomaly Detection via Person-Specific Velocity Analysis
Detecting anomalies in crowded scenes is challenging due to severe inter-person occlusions and highly dynamic, context-dependent motion patterns. Existing approaches often struggle to adapt to varying crowd densities and…
Anomaly DetectionHead DetectionTalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection
The rapid advancement of talking-head deepfake generation fueled by advanced generative models has elevated the realism of synthetic videos to a level that poses substantial risks in domains such as media, politics, and …
DeepFake DetectionFace SwappingHead DetectionUsing Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking
Head detection and tracking are essential for downstream tasks, but current methods often require large computational budgets, which increase latencies and ties up resources (e.g., processors, memory, and bandwidth). To …
Head DetectionMultiple Object TrackingObject TrackingBBoxCut: A Targeted Data Augmentation Technique for Enhancing Wheat Head Detection Under Occlusions
Wheat plays a critical role in global food security, making it one of the most extensively studied crops. Accurate identification and measurement of key characteristics of wheat heads are essential for breeders to select…
Data AugmentationHead DetectionRPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos
The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as railway platforms and event entrances. These environmen…
Head Detectionobject-detectionObject DetectionToward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network
Pedestrian detection and tracking in crowded video sequences have a wide range of applications, including autonomous driving, robot navigation and pedestrian flow surveillance. However, detecting and tracking pedestrians…
Autonomous DrivingCollision AvoidanceHead DetectionOptical Flow Estimation+2VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
Human head detection, keypoint estimation, and 3D head model fitting are essential tasks with many applications. However, traditional real-world datasets often suffer from bias, privacy, and ethical concerns, and they ha…
Head DetectionKeypoint EstimationSynthetic Data GenerationAutoencoder based approach for the mitigation of spurious correlations
Deep neural networks (DNNs) have exhibited remarkable performance across various tasks, yet their susceptibility to spurious correlations poses a significant challenge for out-of-distribution (OOD) generalization. Spurio…
Head DetectionODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
Optic nerve head (ONH) detection has been a crucial area of study in ophthalmology for years. However, the significant discrepancy between fundus image datasets, each generated using a single type of fundus camera, poses…
Head DetectionImage SegmentationSemantic SegmentationDODA: Diffusion for Object-detection Domain Adaptation in Agriculture
The diverse and high-quality content generated by recent generative models demonstrates the great potential of using synthetic data to train downstream models. However, in vision, especially in objection detection, relat…
Domain AdaptationHead DetectionObjectobject-detection+1Modified CycleGAN for the synthesization of samples for wheat head segmentation
Deep learning models have been used for a variety of image processing tasks. However, most of these models are developed through supervised learning approaches, which rely heavily on the availability of large-scale annot…
Deep LearningGenerative Adversarial NetworkHead DetectionSegmentation+1Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
Head detection provides distribution information of pedestrian, which is crucial for scene statistical analysis, traffic management, and risk assessment and early warning. However, scene complexity and large-scale variat…
Auxiliary LearningHead DetectionManagementBPJDet: Extended Object Representation for Generic Body-Part Joint Detection
Detection of human body and its parts has been intensively studied. However, most of CNNs-based detectors are trained independently, making it difficult to associate detected parts with body. In this paper, we focus on t…
Head DetectionWheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
Wheat is one of the most significant crop species with an annual worldwide grain production of 700 million tonnes. Assessing the production of wheat spikes can help us measure the grain production. Thus, detecting and ch…
Head DetectionBenchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping
The rise of self-supervised learning (SSL) methods in recent years presents an opportunity to leverage unlabeled and domain-specific datasets generated by image-based plant phenotyping platforms to accelerate plant breed…
BenchmarkingContrastive LearningHead DetectionPlant Phenotyping+1DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
Existing head pose estimation (HPE) mainly focuses on single person with pre-detected frontal heads, which limits their applications in real complex scenarios with multi-persons. We argue that these single HPE methods ar…
AttributeHead DetectionHead Pose EstimationPose EstimationMask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
As a fundamental computer vision task, crowd counting plays an important role in public safety. Currently, deep learning based head detection is a promising method for crowd counting. However, the highly concerned object…
Crowd CountingDensity EstimationHead DetectionObject+2