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Visual-Prompt Guided Wildlife Instance-Level Recognition
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wildlife recognitionlatent spaceone-stage modelDINOv2
2608.18246
Builder Relevance
1h ago60%
Abstract
This paper presents a one-stage end-to-end model for wildlife re-identification that enhances identity searching within the latent space.
Reality Card
Core Claim
The proposed model achieves a mean average precision score of 30.584%, demonstrating competitive performance against the state-of-the-art two-stage approach.
Method / Result
Mean average precision score of 30.584%
Limitations
The model's performance is significantly lower than the state-of-the-art two-stage approach, which raises concerns about its effectiveness in practical applications.
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