Head Detection
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Benchmarks
Rebar Head
Most implemented
Tracking Pedestrian Heads in Dense Crowd
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
FCHD: Fast and accurate head detection in crowded scenes
VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
Autoencoder based approach for the mitigation of spurious correlations
Papers
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 Tracking