From e389c97eb589b12e5d95fea4eea51f6fe9ab86d7 Mon Sep 17 00:00:00 2001 From: coeusguo Date: Sun, 15 Aug 2021 01:16:42 +0800 Subject: [PATCH] add cover image --- README.md | 2 +- ceit.png | Bin 0 -> 26765 bytes 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 ceit.png diff --git a/README.md b/README.md index f78bc2c..13c5166 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ This repository is the official implementation of CeiT (Convolution-enhanced image Transformer). It builds from [Data-Efficient Vision Transformer](https://github.com/facebookresearch/deit) and [timm](https://github.com/rwightman/pytorch-image-models) -![CeiT](.github/ceit.png) +![CeiT](ceit.png) For details see [Incorporating Convolution Designs into Visual Transformers](https://arxiv.org/pdf/2103.11816.pdf) by Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu and Wei Wu diff --git a/ceit.png b/ceit.png new file mode 100644 index 0000000000000000000000000000000000000000..167f396834fc4052cb5dfc40c151406682fc224a GIT binary patch literal 26765 zcmd43^LJg{_XZl&`WVPo62)!?4?{e15j_dmEloH5qk zCui-s=9+urna|2M6(wn81OfywFfe3U8A&xTFz`Ci2OSOubcX=t#sqXhVg z!qLvrMcv87%tFlE(bPgsTAYoKj~5J#Hqi_KP?KS#9X7!L0EWjI=nz~y)gmKf)Bpja zJ-t0cWP^Z_p6ql3gDpI?t$r{lRsw9_j=>(dLYC9uvA&cc#8x%6=;WX~QnCppW?Fg^ z0ALKPA@#RBg6J6unf@m_!Z9N-Q(SOjICDqv`dRWbOaK?!194qu0+|)rAIOC9G$>1s zptBwMh&pIdJ75n9Nl6&>H-9oXIW-13(MDH)F$+~oZ>ev=l&r;S z*n+o7_ik7*NHIwGc%s`Vs&9N~M7c4hR%oVhfoNHjy**pqDM3N|sN!SAX+b7ID3FjJ z8lmX~Q*PjXFyVf#N%GO7`Gc(N_#CWgJCI=9hH?NZ_ZlIP=6Ef1WGxjH!RSF_I56-C z8!#x)2>h>3K_4(Mh9bg*#!BeU{A8LdZNWIjZ2zT0tEsF8$>jLhZ8>tV-l z#*Pt(6YAylY{;yfw#SJafz6y8j>9!|15RoT3@9jYF;O%$C?X_qZCJuuByG_6-z^n5 zILKr|vHvc6$kEYY4iaXmLva500~qSZKr%8oIEdgt2?{c#G4e7+7^Z)hWMoJR7ynHP z1s)+OikB{-l!c`Czj^V}*C2!c`z6Y^Kvvd>Y;OF<|4qco+6Mc7;$VQA08ses*{%Oc z2L-xvLH+wM(4X>tg6QiZa#=B-`rkx-J$oeoliEoJDl~|1uW=+F`acmugGPk@6O(K! z0kkC7VVh(z#Q!D&Ezsxh+Ck6!|JwqU`g?YEcWqvuuIDPXSx(kFc$kcTuJMwKyk0@N zU#w;DyPrtr`8{OR8*u-h#&E%LV@I4L0xb68gVwjl-v z22|rogsg|+i1*IV6%9K)N-TbVS3O;*t|emB|G!O%2%MDx2n!4Eot{=wgKfS%jHWW! z3@4Cdk&q|_1qI2;>9@O;&wm>o87Wv=(y6>xBmZyL0i(Wjx?N}gvy&xK2&E!%gANZS#SHe(9(7@TMpdekvEbj50IZnH! z1S9Wbs%UpL+W&ODl@7-n3w4lw^&9vIrq!EOK&6<7inxE;9swd0STyR+JBwjAl?qou4lQl8RNe5+~#beMyfAM}f#Kw9FK08>+PIruz4By9Y_-qzZxX6~eZ z^N3J5clOD}^S(IxxZX{8KZU<6B8#T2t<_Z&if438kt2?hZ8z9iU``|{LkWj8;F}Un z$@O7mJ@XPxN*@FTHs;+Uf@KqcpQ~mzYDM~?xH#tPinBLz6T+or4&i-~cTg<+q5Qa9 zA=zd-R+ewlf#cV(nq%*@dJ(G)kpCR}!LUdTl1&Reklu0N{qp#%#LSJIExa$i{F9Yo zF--3`-7rmP$){LNSEELk4^#~&UDFwXjuiY_M}qDU-xGT3H0=a=FLOBKMe0ICz;`S2)Faz^IO0#EF8J=De35Cc$gYXd(Vcc&BHTB6P=2Wfhn( z2O6_T=nUJE=|>r}>ySu6+E6%JSUg7)+Lsgj?5+zcwqwZJbHg?TeW zdEf~sJZatI{l*75!~7&T(FzEAKv5(nE^6JcnYf9ocGb6hYB&00R(rl{nq&JZhxJ6` zYl}~$$^no?2sW}q7!Q?Z1s;Sm2mA=gz}gitcF3mavx1-d@o$u%(Dr^PBSi~0M-Sz4 z(_p?2SPx}UuBX&F*H|L**ht{ zeDE+fnxl?1?o^gNRsKe&qhBL+(BRVIV5efNp@ICUP;|6eiz$7O1a-@gwRXRp#Mtu2 z*4&zh1*#U(6lzgV1X)>RWMfYoOVz(cq-Yu;=x-KOG1YQ$A=#J+np>~R4xWdTkH@Yy zY#aQIZ#B;;mFQ5mNI{6@R?CfoD!Myf^^K65#ccuOrj{wiVNs8( zHH@0|ln$!Fs{KbO>e%Z29+Aea?1fjm?_p5j#Gt6lk8xv<3x|b;H4`SE@#%-A${#ynIF|2EjPwQDgKbKW9}f7KwES{0>pscwji&t`>Lo;RTG>EQ=Gw+8^_~H)bT8y zcr|tP@smV+z02EvRFUGdGrJ!zal`^M!-q_S%j-vZB^!VxkMgUPDUo5rTeu( z=PjMh3tDXqw1w+6+sV=>=N9Mrzm)5|fr6j1VkT!ne+23*OE+Wb z8x3Y^o??D&nW+*}I|>!*CfZ87A5D%x=lIu7#AX8n;O9s5yZaxDGuQopZ0=9y2fh7v zbA2uf0t3NTI=wim^;?u!xc$wP5(!b6WZd*zcTcO3R-0EZLqe&o2>b{Q3!AoY zSugbnVq)bkIca~~in!b8xFoz30>1U6!`u^!tJh>m`ApiC9xE$s<0434!TZH*GeOW6 zx|6kGd(YH}C?ybbFh8l(_hWtz=Pc={%@c!sK`!hg!u9?Txty+l@;k%b7rzfCP&e{t zR?PY8)3oj*{~fOi^}c@B=VY#2qubwarNxo-Z;I0>XAjcmIlcZL(5~6OZmhQX3++== zCkDuew9mx`T=Gaut1ktDhx$1Fju%l|bXd2ZF^k9UKq+GcgT!nP?zvd+XquW*VRiqZ z-0lAs6APNxQ7fXkNGg_n!Ik>R^gfwdk$oW|G!(1ykn~%9E@}F}390uHx#lENg%0tA zh|hx^XgF;8R$2SA;)GA2X~5gEqJm`6_->_sQbBRP*0_7a^leh)qw3@t+_Bz&e>7F^ zY{2dOVQ8aHXYFr%nCT)RHRl z_*_c|UOGDkH3L509&sxlA0D*apIlF?TW~6e-U?@%7LD|)a*ZACY-5eFqUJqM=03h%aJ~2-|IFSV(3} zcPDhKS|WTuVeck3d^^S@L)o|Qgd3>RT;mH7!zoNMI&Y_Za4lYGs;wzg(H zUHJL+=0Y5_93G*M*IPO7?W{;LMIA~RfaA|+YQMW_X-h=|L&K4wA?Z}HQ963^ZQs{? 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