Pinned Repositories
2810_7810_ICT
2810/7810 ICT Tutoring Repository: A collection of work, notes, and resources for this course, documenting my learning journey and progress
BIDFuse
[ICIP 2024] Official implementation for "BIDFuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion"
COCO_Tiny
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
DenseFuse
DenseFuse (TIP2019) - Pytorch 0.4.1
detr
End-to-End Object Detection with Transformers
EMMA
[CVPR 2024] Official implementation for "Equivariant Multi-Modality Image Fusion."
MMIF-DDFM
[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."
paper-reading
深度学习经典、新论文逐段精读
Seq-nms-YOLO
Unofficial implementation of Seq-nms. I combine it with YOLO detection.
zzowenzz's Repositories
zzowenzz/BIDFuse
[ICIP 2024] Official implementation for "BIDFuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion"
zzowenzz/2810_7810_ICT
2810/7810 ICT Tutoring Repository: A collection of work, notes, and resources for this course, documenting my learning journey and progress
zzowenzz/COCO_Tiny
zzowenzz/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
zzowenzz/DenseFuse
DenseFuse (TIP2019) - Pytorch 0.4.1
zzowenzz/detr
End-to-End Object Detection with Transformers
zzowenzz/EMMA
[CVPR 2024] Official implementation for "Equivariant Multi-Modality Image Fusion."
zzowenzz/MMIF-DDFM
[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."
zzowenzz/paper-reading
深度学习经典、新论文逐段精读
zzowenzz/Seq-nms-YOLO
Unofficial implementation of Seq-nms. I combine it with YOLO detection.
zzowenzz/NestFuse
NestFuse (IEEE TIM 2020, Highly Cited Paper)- Pytorch >= 0.4.1
zzowenzz/SCL-LLE
SCL-LLE code
zzowenzz/TarDAL
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
zzowenzz/transformers-benchmarks
real Transformer TeraFLOPS on various GPUs