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Found 6 papers, 1 papers with code
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection
OpenSight utilizes 2D-3D geometric priors for the initial discernment and localization of generic objects, followed by a more specific semantic interpretation of the detected objects.
DMKD: Improving Feature-based Knowledge Distillation for Object Detection Via Dual Masking Augmentation
Recent mainstream masked distillation methods function by reconstructing selectively masked areas of a student network from the feature map of its teacher counterpart.
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection
In face detection, low-resolution faces, such as numerous small faces of a human group in a crowded scene, are common in dense face prediction tasks.
LogoNet: a fine-grained network for instance-level logo sketch retrieval
To our knowledge, this is the first publicly available instance-level logo sketch dataset.
EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection
Besides, this is conducive to estimating the locations of faces and enhancing the descriptive power of face features.
AMD: Adaptive Masked Distillation for Object Detection
As a general model compression paradigm, feature-based knowledge distillation allows the student model to learn expressive features from the teacher counterpart.
