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Found 6 papers, 1 papers with code
Augmented Hard Example Mining for Generalizable Person Re-Identification
Although the performance of person re-identification (Re-ID) has been much improved by using sophisticated training methods and large-scale labelled datasets, many existing methods make the impractical assumption that information of a target domain can be utilized during training.
General Classification
Generalizable Person Re-identification
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
We propose a simple, intuitive yet powerful method for human-object interaction (HOI) detection.
Human-Object Interaction Concept Discovery
Human-Object Interaction Detection
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
We propose a segmentation-based bounding box generation method for omnidirectional pedestrian detection that enables detectors to tightly fit bounding boxes to pedestrians without omnidirectional images for training.
Hunting Group Clues with Transformers for Social Group Activity Recognition
Our method is designed in such a way that the attention modules identify and then aggregate features relevant to social group activities, generating an effective feature for each social group.
Ranked #1 on
Group Activity Recognition
on Collective Activity
(using extra training data)
Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection
Using the generated embeddings as training data, a feed-forward neural network learns to extract features of normal and anomaly from CLIP's embeddings, and as a result, a category-agnostic anomaly detector can be obtained without any training images.
Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition
Social group activity recognition is a challenging task extended from group activity recognition, where social groups must be recognized with their activities and group members.
