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Visual tuning
Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …
downstream visual tasks. With the surprising development of pre-trained visual foundation …
Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Real-time intermediate flow estimation for video frame interpolation
Real-time video frame interpolation (VFI) is very useful in video processing, media players,
and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm …
and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm …
Fine-grained shape-appearance mutual learning for cloth-changing person re-identification
Recently, person re-identification (Re-ID) has achieved great progress. However, current
methods largely depend on color appearance, which is not reliable when a person changes …
methods largely depend on color appearance, which is not reliable when a person changes …
TBE-Net: A three-branch embedding network with part-aware ability and feature complementary learning for vehicle re-identification
Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
How many observations are enough? knowledge distillation for trajectory forecasting
Accurate prediction of future human positions is an essential task for modern video-
surveillance systems. Current state-of-the-art models usually rely on a" history" of past …
surveillance systems. Current state-of-the-art models usually rely on a" history" of past …
Feature map distillation of thin nets for low-resolution object recognition
Intelligent video surveillance is an important computer vision application in natural
environments. Since detected objects under surveillance are usually low-resolution and …
environments. Since detected objects under surveillance are usually low-resolution and …