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Found 8 papers, 2 papers with code
Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens
We introduce independent dynamic template tokens to interact with the search region, embedding temporal information to address appearance changes, while also retaining the involvement of the initial static template tokens in the joint feature extraction process to ensure the preservation of the original reliable target appearance information that prevent deviations from the target appearance caused by traditional temporal updates.
Ranked #4 on
Rgb-T Tracking
on RGBT210
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
To perform effective collaborative modeling between image relighting and person ReID tasks, we integrate the multilevel feature interactions in CENet.
Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks
To address this challenge, we propose a novel invertible prompt learning approach, which integrates the content-preserving prompts into a well-trained tracking model to adapt to various modality-missing scenarios, for robust RGBT tracking.
Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark
The illumination enhancement branch first estimates an enhanced image from the nighttime image using a nonlinear curve mapping method and then extracts the enhanced features.
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
In specific, we use the modified VGG-M as the generality adapter to extract the modality-shared target representations. To extract the modality-specific features while reducing the computational complexity, we design a modality adapter, which adds a small block to the generality adapter in each layer and each modality in a parallel manner.
Ranked #7 on
Rgb-T Tracking
on GTOT
Duality-Gated Mutual Condition Network for RGBT Tracking
To deal with the tracking failure caused by sudden camera motion, which often occurs in RGBT tracking, we design a resampling strategy based on optical flow algorithms.
Ranked #7 on
Rgb-T Tracking
on RGBT234
Challenge-Aware RGBT Tracking
RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role to represent the target appearance in RGBT tracking.
Ranked #6 on
Rgb-T Tracking
on GTOT
Multi-Adapter RGBT Tracking
In a specific, the generality adapter is to extract shared object representations, the modality adapter aims at encoding modality-specific information to deploy their complementary advantages, and the instance adapter is to model the appearance properties and temporal variations of a certain object.
