arXiv:2206.05159
공식 코드 · Papers with Code
An Image Processing Pipeline for Camera Trap Time-Lapse Recordings
원문 초록
A new open-source image processing pipeline for analyzing camera trap time-lapse recordings is described. This pipeline includes machine learning models to assist human-in-the-loop video segmentation and animal re-identification. We present some performance results and observations on the utility of this pipeline after using it in a year-long project studying the spatial ecology and social behavior of the gopher tortoise.
함께 살펴볼 논문
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Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost
OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts
Unlocking the Power of SAM 2 for Few-Shot Segmentation
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
토론
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