domains to show the positives that our field and the students, collaborators, and researchers working in it can bring to the world for a better future.” When she joined NU six years ago, Sarah brought small data into view when the prevailing focus was on big data. However, with models growing in size and complexity, more and more datasets are now seen as small data. It is no longer a niche problem but relatively widespread, with more people needing to think about making their models work with less data. “With these two specific applications, when we started talking to people, we saw clusters of labs and researchers working in the field, so this workshop brings them together,” she reports. “It’s a heartwarming feeling to see that other groups are working on this challenging problem. Reading the papers coming to us, we said, ‘Wow! Interesting!’ They’ve been working on this field from another perspective. We’re looking forward to meeting those researchers that really care.” The organizers invite everyone to join the CV4Smalls Workshop on Sunday and stay tuned for the Best Paper and Special Issue journal announcement. 27 DAILY WACV Friday CV4Smalls Multiple Toddler Tracking: MTTSort for multiple toddler tracking in indoor videos. This diagram illustrates two significant enhancements to the traditional DeepSort framework: (1) Pooled Aggregated Feature Association with a Custom Buffer, a mechanism that accumulates and consolidates features across consecutive frames in a user-defined buffer, and (2) Attention-Based Feature Extraction with Vision Transformer (ViT), which replaces conventional CNNs with the ViT for a more refined and attention-focused feature extraction process.
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