Quantum dot–based time-bin QKD achieves stable, long-distance secure communication with practical performance.
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: Open-vocabulary semantic segmentation aims to partition an image into distinct semantic regions based on an open set of categories. Existing approaches primarily rely on image-level ...
Applied DINO SSL pretraining on unlabeled Amazon data, then fine-tuned on labeled Cerrado data for deforestation detection. Deforestation_Detection/ │ ├── README.md # This file ├── requirements.txt # ...
Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results