HyperAI

Rgb T Tracking On Lasher

Metrics

Precision
Success

Results

Performance results of various models on this benchmark

Comparison Table
Model NamePrecisionSuccess
transformer-rgbt-tracking-with-spatio67.453.7
seqtrack-sequence-to-sequence-learning-for74.158.8
2408-0222270.055.6
sdstrack-self-distillation-symmetric-adapter66.553.1
from-two-stream-to-one-stream-efficient-rgb-t71.456.7
challenge-aware-rgbt-tracking45.031.4
onetracker-unifying-visual-object-tracking67.253.8
seqtrack-sequence-to-sequence-learning-for70.455.8
prompting-for-multi-modal-tracking50.942.1
Model 1076.260.7
sutrack-towards-simple-and-unified-single76.961.9
seqtrack-sequence-to-sequence-learning-for76.761.0
rgb-t-tracking-via-multi-modal-mutual-prompt72.057.1
bridging-search-region-interaction-with70.256.5
rgbt-tracking-via-multi-adapter-network-with46.731.4
generative-based-fusion-mechanism-for-multi70.756.6
seqtrack-sequence-to-sequence-learning-for71.556.2
bi-directional-adapter-for-multi-modal70.256.3
single-model-and-any-modality-for-video66.753.6
mambavt-spatio-temporal-contextual-modeling72.757.5
temporal-adaptive-rgbt-tracking-with-modality70.256.1
visual-prompt-multi-modal-tracking65.152.5
middle-fusion-and-multi-stage-multi-form67.354.2
breaking-modality-gap-in-rgbt-tracking73.258.1
exploiting-multimodal-spatial-temporal76.060.3
mambavt-spatio-temporal-contextual-modeling73.057.9
Model 2773.058.8
duality-gated-mutual-condition-network-for49.035.5
adaptive-perception-for-unified-visual-multi74.158.9
revisiting-rgbt-tracking-benchmarks-from-the72.157.8
cross-fusion-rgb-t-tracking-with-bi73.258.4
attribute-based-progressive-fusion-network50.036.2
after-attention-based-fusion-router-for-rgbt70.355.1
multi-modal-fusion-for-end-to-end-rgb-t44.734.3
transformer-based-rgb-t-tracking-with-channel71.557.2
efficient-rgb-t-tracking-via-cross-modality59.046.6