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Found 6 papers, 6 papers with code
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
We address these problems by introducing: (1) A unified benchmarking and implementation framework, Align and Distill (ALDI), enabling comparison of DAOD methods and supporting future development, (2) A fair and modern training and evaluation protocol for DAOD that addresses benchmarking pitfalls, (3) A new DAOD benchmark dataset, CFC-DAOD, enabling evaluation on diverse real-world data, and (4) A new method, ALDI++, that achieves state-of-the-art results by a large margin.
Ranked #1 on
Unsupervised Domain Adaptation
on CFC-DAOD
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
This approach employs stereo vision to infer 3D information of natural habitats and is designated as StereO CameRA Trap for monitoring of biodivErSity (SOCRATES).
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps
Until now camera-to-animal distance measurements are derived by laborious, manual and subjective estimation methods.
Automated Distance Estimation for Wildlife Camera Trapping
We propose a fully automatic approach we call AUtomated DIstance esTimation (AUDIT) to estimate camera-to-animal distances.
Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
Biodiversity crisis is still accelerating.
Exploiting Depth Information for Wildlife Monitoring
In this study, we propose an automated camera trap-based approach to detect and identify animals using depth estimation.
