From 4c953381ea5e57e98d4cb1f7bbccab42c6efc4a8 Mon Sep 17 00:00:00 2001 From: dotrannhattuong Date: Tue, 26 Mar 2024 15:48:22 +0800 Subject: [PATCH] Update README --- README.md | 31 +- images/cnn.svg | 6292 ----------------------------------- images/cnn_before.svg | 6293 ----------------------------------- images/cnn_wo_FTC.svg | 6299 ------------------------------------ images/domain_after.svg | 6289 ----------------------------------- images/domain_before.svg | 6290 ----------------------------------- images/grad_cam.png | Bin 0 -> 433023 bytes images/gradcam.png | Bin 293882 -> 0 bytes images/method_1.png | Bin 0 -> 185588 bytes images/method_1.svg | 1 - images/poster_cvpr2024.png | Bin 0 -> 4867688 bytes images/tsne.png | Bin 0 -> 185013 bytes images/vit_before.svg | 6294 ----------------------------------- 13 files changed, 8 insertions(+), 37781 deletions(-) delete mode 100644 images/cnn.svg delete mode 100644 images/cnn_before.svg delete mode 100644 images/cnn_wo_FTC.svg delete mode 100644 images/domain_after.svg delete mode 100644 images/domain_before.svg create mode 100644 images/grad_cam.png delete mode 100644 images/gradcam.png create mode 100644 images/method_1.png delete mode 100644 images/method_1.svg create mode 100644 images/poster_cvpr2024.png create mode 100644 images/tsne.png delete mode 100644 images/vit_before.svg diff --git a/README.md b/README.md index ee63271..e1854a6 100644 --- a/README.md +++ b/README.md @@ -5,20 +5,20 @@ This repository contains the code of the ECB method for Classification in Domain
Accepted In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). Paper | -Project Page | +Project Page | ## Proposed Method
- +

@@ -54,29 +54,14 @@ python test.py --cfg configs/test.yaml ## Visualization * The visualization compares features from two networks (CNN, ViT) for the real --> sketch on the DomainNet dataset in the 3-shot scenario, before and after adaptation with the FTC strategy. -
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* The visualization in a few samples using GRAD-CAM technique to show to performance for CNN and ViT when applying ECB method.
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## Citation diff --git a/images/cnn.svg b/images/cnn.svg deleted file mode 100644 index 0251665..0000000 --- a/images/cnn.svg +++ /dev/null @@ -1,6292 +0,0 @@ - - --76-3803876-76-3803876Representations of CNN after using ECBrealsketch diff --git a/images/cnn_before.svg b/images/cnn_before.svg deleted file mode 100644 index 9be1e7f..0000000 --- a/images/cnn_before.svg +++ /dev/null @@ -1,6293 +0,0 @@ - - --76-3803876-76-3803876Representations of CNN before using ECBrealsketch diff --git a/images/cnn_wo_FTC.svg b/images/cnn_wo_FTC.svg deleted file mode 100644 index bc3a868..0000000 --- a/images/cnn_wo_FTC.svg +++ /dev/null @@ -1,6299 +0,0 @@ - - --76-3803876-76-3803876Representations of CNN after using ECB without FTCrealsketch diff --git a/images/domain_after.svg b/images/domain_after.svg deleted file mode 100644 index 9376f0d..0000000 --- a/images/domain_after.svg +++ /dev/null @@ -1,6289 +0,0 @@ - - --86-4304386-86-4304386Domain alignment after adaptationrealsketch diff --git a/images/domain_before.svg b/images/domain_before.svg deleted file mode 100644 index 8138a98..0000000 --- a/images/domain_before.svg +++ /dev/null @@ -1,6290 +0,0 @@ - - --86-4304386-86-4304386Domain alignment before adaptationrealsketch diff --git a/images/grad_cam.png b/images/grad_cam.png new file mode 100644 index 0000000000000000000000000000000000000000..12e32fa5305afb634347257ce83545b332a87a01 GIT binary patch literal 433023 zcmb5V19T=|vp4$0d1Bk1*tTukwr!ge+fF9QBok+1+s4G4*kAtd`Obacb?#c{uG?$% z+TD9s?XKFWuCDrZl%l)@JPZyD004lOk`z@20KobI0FWtY$gi4C*Y&=y0^CJdN)`I+ z@P#&w{JO_>71MN8aWHrFFmg5nSlBz*nbEnJIGdT-yI4B7UV-)S0{}z-DN!L+&z$pI z4^P#>m*F0lsnz6eARQ4BC>1y|JXMxvrLiiS>Rm8qYM>`XqoP0c3P=~pv6^BkNw8>_ zey?}~@>L7CZD2GwIFPTTR~$_;{;Tm{G#2<9Scm^6n9_pc2AtUB35B~fy zI$Nrh%Y{QIpUvQK&{v@h>bGKrfq`kT-)#Sf#zp#{L8Al@3k%EO@vv8+4Ebtzc6M&? ze}DO}K4fz^k>3>Ir&fQ5!{a8Vq|7gj?l{VS`~MI|#QGFG2O-gT*g)W5x9JTO4gXsZ z(lSnNyJ?YwI^^0gXsGZ3J&ov9lHY7mCF(d=F_)5VqFzhNEOtcgu(1B(5~sQ)U=aoAPlP_T=SgMw`Riw8x%$C$@X5z+3q#F@0? 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