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Found 6 papers, 2 papers with code
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
Our method employs a model-perception-based approach that reduces the object confidence scores of several object detectors to boost the transferability of adversarial patches.
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
While current foundational models excel at various visual language tasks, there's a noticeable absence of models specifically tailored for open-vocabulary visual grounding.
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
The proposed framework is evaluated on five regular VG datasets and two newly constructed robust VG datasets.
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation
On the DSB2018 and CA2. 5, our network surpasses previous methods by 1. 2% (AP50).
PGGANet: Pose Guided Graph Attention Network for Person Re-identification
Person re-identification (reID) aims at retrieving a person from images captured by different cameras.
MM-FSOD: Meta and metric integrated few-shot object detection
In this paper, we present an effective object detection framework (MM-FSOD) that integrates metric learning and meta-learning to tackle the few-shot object detection task.
