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Found 4 papers, 0 papers with code
Weakly Supervised Monocular 3D Detection with a Single-View Image
We propose SKD-WM3D, a weakly supervised monocular 3D detection framework that exploits depth information to achieve M3D with a single-view image exclusively without any 3D annotations or other training data.
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
This paper presents DVDet, a Descriptor-Enhanced Open Vocabulary Detector that introduces conditional context prompts and hierarchical textual descriptors that enable precise region-text alignment as well as open-vocabulary detection training in general.
Domain Generalization via Balancing Training Difficulty and Model Capability
Despite its recent progress, most existing work suffers from the misalignment between the difficulty level of training samples and the capability of contemporarily trained models, leading to over-fitting or under-fitting in the trained generalization model.
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
However, the source predictions of target data are often noisy and training with them is prone to learning collapses.
