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Found 7 papers, 4 papers with code
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
We identify that on the same task, inference time across models can differ by 2. 7x-136. 3x, while the median inter-packet waiting time is often 6-8 orders of magnitude higher than the inference time!
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting
Here we propose a scale-sensitive generalized loss to tackle this problem.
Ranked #5 on
Object Counting
on FSC147
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning
Our proposed method mainly leverages the intra-modality encoding and cross-modality co-occurrence encoding for fully representation modeling.
LEAF: Navigating Concept Drift in Cellular Networks
We then show that frequent model retraining with newly available data is not sufficient to mitigate concept drift, and can even degrade model accuracy further.
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
It captures spatial-temporal contextual information jointly to augment the individual and group representations effectively with a clustered spatial-temporal transformer.
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos.
Rethinking Pseudo-LiDAR Representation
Based on this observation, we design an image based CNN detector named Patch-Net, which is more generalized and can be instantiated as pseudo-LiDAR based 3D detectors.
