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WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models

V. A. G. Gabeff; M. Russwurm; D. Tuia; A. Mathis

International Journal Of Computer Vision. 2024-04-24. DOI : 10.1007/s11263-024-02026-6.

WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models

Task-driven neural network models predict neural dynamics of proprioception

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

NeuroAI: If grid cells are the answer, is path integration the question?

Neural and algorithmic bases of odor guided trail following in mice

Task-driven neural network models predict neural dynamics of proprioception

Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

Data Champions Lunch Talks – AI and research data, a new synergy

Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction

Multi-animal pose estimation, identification and tracking with DeepLabCut

Measuring and modeling the motor system with machine learning

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

Perspectives on Individual Animal Identification from Biology and Computer Vision

Pretraining boosts out-of-domain robustness for pose estimation

Deep learning tools for the analysis of movement, identity and behavior

Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer

Real-time, low-latency closed-loop feedback using markerless posture tracking

Tumor-Specific Cytolytic Cd4 T Cells Mediate Protective Immunity Against Human Cancer

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives

Real-time, low-latency closed-loop feedback using markerless posture tracking

ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data

Task-driven hierarchical deep neural network models of the proprioceptive pathway

Deep learning tools for the measurement of animal behavior in neuroscience

Pretraining boosts out-of-domain robustness for pose estimation

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

Markerless tracking of user-defined features with deep learning

Towards goal-driven deep neural network models to elucidate human arm proprioception

On the inference speed and video-compression robustness of DeepLabCut

Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice

Boosting olfactory cocktail-party performance by semi-supervised learning in mice

Periodic population codes: From a single circular variable to higher dimensions, multiple nested scales, and conceptual spaces

Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice

Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing

Connecting multiple spatial scales to decode the population activity of grid cells

Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns

Decoding the Population Activity of Grid Cells for Spatial Localization and Goal-Directed Navigation

Multiscale codes in the nervous system: The problem of noise correlations and the ambiguity of periodic scales

Resolution of Nested Neuronal Representations Can Be Exponential in the Number of Neurons

Optimal Population Codes for Space: Grid Cells Outperform Place Cells

A physiologically inspired model for global remapping in the hippocampus

How good is grid coding versus place coding for navigation using noisy, spiking neurons?